Technical Papers
Dec 27, 2023

Propagation Characteristics of Acoustic Emission Waves in Three Different Asphalt Pavement Materials

Publication: Journal of Materials in Civil Engineering
Volume 36, Issue 3

Abstract

Due to the differences of physical and mechanical properties of asphalt pavement materials, asphalt pavement (asphalt mixture) presents complex characteristics. To explore the acoustic emission (AE) wave characteristics of asphalt pavement materials, the automatic sensor test (AST) method was used on coarse aggregate, asphalt, and asphalt mixture at different temperatures. The results show that the peak amplitude and frequency of AE waves in coarse aggregate is the largest, followed by asphalt, and asphalt mixture is the smallest. For asphalt mixture, the larger the nominal maximum size of aggregate, the more serious the waveform distortion, the more complex the frequency distribution, and the smaller the amplitude range of AE waves. AE waves in coarse aggregate is not sensitive to temperature, while the peak amplitude of AE waves in asphalt is linearly related to temperature. The peak amplitude and temperature of AE waves in three gradations of asphalt mixtures can be fitted to obtain the corresponding second-order polynomial. AE wave attenuation is mainly reflected in asphalt mixture, while low-temperature sensitivity is mainly reflected in asphalt and asphalt mixture.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This research was funded by Applied Basic Research Project of Shanxi Province, China (202203021212196). The authors are grateful for those financial supports.

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 36Issue 3March 2024

History

Received: Apr 18, 2023
Accepted: Aug 18, 2023
Published online: Dec 27, 2023
Published in print: Mar 1, 2024
Discussion open until: May 27, 2024

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Authors

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Jianfeng Li, Ph.D. [email protected]
Postdoctoral Researcher, Shanxi Key Laboratory of Civil Engineering Disaster Prevention and Control, College of Civil Engineering, Taiyuan Univ. of Technology, Taiyuan 030024, China; Doctoral Student, National Center for Materials Service Safety, Univ. of Science and Technology Beijing, Beijing 100083, China. Email: [email protected]
Linbing Wang, Ph.D., P.E., F.ASCE [email protected]
Professor, Sensing and Perception Lab, School of Environmental, Civil, Agricultural and Mechanical Engineering, College of Engineering, Univ. of Georgia, Athens, GA 30602. Email: [email protected]
Fan Li, Ph.D. [email protected]
Postdoctoral Researcher, Shanxi Key Laboratory of Civil Engineering Disaster Prevention and Control, College of Civil Engineering, Taiyuan Univ. of Technology, Taiyuan 030024, China. Email: [email protected]
Ningyi Su, Ph.D. [email protected]
Research Assistant, Shanxi Key Laboratory of Civil Engineering Disaster Prevention and Control, College of Civil Engineering, Taiyuan Univ. of Technology, Taiyuan 030024, China. Email: [email protected]
Yang Gao, Ph.D. [email protected]
Research Assistant, Shanxi Key Laboratory of Civil Engineering Disaster Prevention and Control, College of Civil Engineering, Taiyuan Univ. of Technology, Taiyuan 030024, China. Email: [email protected]
Xiao Zhang, Ph.D. [email protected]
Professor, Shanxi Key Laboratory of Civil Engineering Disaster Prevention and Control, College of Civil Engineering, Taiyuan Univ. of Technology, Taiyuan 030024, China (corresponding author). Email: [email protected]

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